Top Data Engineer Jobs in London

Design and implement cutting-edge data solutions for AI-driven transformations, collaborating with clients, developing scalable architectures, and supporting AI integration.

The Data Engineer will lead project lifecycles, improve technology stacks, mentor engineers, embed AI in products, and collaborate with stakeholders.

As a Lead AWS Data Engineer, you will design scalable data pipelines, collaborate on data solutions, and contribute to a lakehouse architecture, while applying software engineering practices.

The Market Data Software Engineer will lead the architecture and implementation of a low-latency market data platform, oversee engineering teams, manage projects, and ensure data quality and governance for financial services.

Lead the architecture and development of a cutting-edge data platform, focusing on data pipelines, analytics, and AI integration while mentoring engineers and collaborating cross-functionally.

As a Senior Data Platform Engineer, you will develop secure, scalable Snowflake services, manage CI/CD pipelines, implement security controls, and optimize costs in a data platform for healthcare.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

As a Senior Data Engineer, you will enhance data infrastructure, optimize data processes, and support analytics for decision-making across teams.

The Senior Data Engineer will develop and manage data pipelines and models, enhance engineering efficiency, and mentor junior engineers while supporting various partner teams.

As a Senior Data Enablement Engineer at Depop, you will architect and scale the data platform, develop microservices, and lead initiatives across teams to promote data governance and observability practices.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams for data analysis, ensure data quality, and lead projects utilizing various data technologies.

Lead the development and architecture of new data services and products around clinical insights, focusing on data analysis and reporting.

Interns will work on large-scale cloud-native data systems, collaborate with engineers, and gain practical experience in autonomous vehicle data infrastructure.

The Staff Software Engineer will design and implement solutions for data processing in autonomous driving, collaborate with ML engineers, and mentor team members, focusing on data diversity and technical excellence.

Develop and maintain data platforms for quantitative finance, focusing on performance, reliability, and scalability while collaborating with researchers and engineering teams.

As a Senior Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

As a Senior Data Engineer, you will design and maintain scalable data architectures, build data pipelines, optimize SQL performance, and mentor junior engineers while collaborating with data scientists to enhance data workflows.

Oversee the build and maintenance of data centres, coordinate installations, ensure standards compliance, design solutions for observability, and automate workflows.

Design and maintain large-scale cloud infrastructure for data accessibility and reliability in autonomous driving technologies. Collaborate on engineering projects and mentor juniors.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

As a Senior Staff Data Engineer, you will lead data engineering practices, establish best practices, mentor teams, and design secure data solutions. Collaboration with various teams is essential to align on goals and ensure compliance with data regulations.

The Senior Data Platform Engineer will lead support for enterprise data platforms, manage incidents, drive improvements, and mentor. Responsibilities include data administration, compliance, documentation, and project management in a client-focused environment.

The Senior Data Engineer will build and maintain data pipelines, collaborate with various stakeholders, and ensure data quality for health research.

The Staff Data Engineer will create a scalable data platform, implement data strategy, improve operational practices, and collaborate across teams.